This repository contains all codes, datasets and results for the paper Conditionally Tractable Density Estimation using Neural Networks published on AISTATS 2022.
- Please make sure you are using Linux system (MAC OS may work as well, but not Windows).
- Clone this repository.
- Download the zipped dataset from Here and extract all content into dataset folder.
- Setup the conda environment
- More details will be updated
- pass
- Source
core/set_env.profilebefore executing any command.
All command is assumed to execute at directory experiment unless otherwise noted.
More details will be updated
We provided the trained instance of all models (SPN, RNADE, OURS) in the experiement/output directory. From which you can fully recover our results shown in the paper. Retrain the whole model do incur slightly difference, but the overall results are same.